Instructions to use GraydientPlatformAPI/atomixpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/atomixpony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/atomixpony", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5ae1d446c3c32ffecb7164bd2ca4a1fc5f4b6ee564e7d6bd0c92f631864f02b6
- Size of remote file:
- 5.14 GB
- SHA256:
- 723c918e94e67f2b74e96df4b672c1a16946ce8c10ea24aa3bdc64553b61cb90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.